All Categories chevron icon Revenue Cycle Management chevron icon Revenue Cycle Technology

Ambient Speech

Voice-enabled systems clinicians use to passively capture patient/provider conversations and contextualize this information in a structured format through fully automated generative AI technologies. While this technology is most frequently referred to as “ambient speech” technology, other common descriptors include “ambient AI,” “AI scribing,” and “AI clinical scribe.”

Subject Expert
Mac Boyter
Research Director
KLAS Research Director - Mac Boyter
   Bookmark
Decision Insights Best in KLAS Category

Latest Related Report

Epic’s Ambient Speech Announcement 2025: How Epic’s Move into Ambient Speech May Shape Customer Strategies) Report Cover Image
Flash Insights
KLAS article icon
Epic’s Ambient Speech Announcement 2025: How Epic’s Move into Ambient Speech May Shape Customer Strategies
26 September 25
Excitement around AI—specifically ambient speech, one of healthcare’s <a href="https://klasresearch.com/report/healthcare-ai-2025-are-you-keeping-pace-with-industry-adoption/3749" target="_blank"><u style="color:#4c8bc9;">most rapidly adopted AI use cases</u></a>—has surged in recent years as organizations look for ways to improve operations and reduce <a href="https://klasresearch.com/archcollaborative/report/ambient-speech-outcomes-2025/652" target="_blank"><u style="color:#4c8bc9;">clinician burden</u></a>. In response, vendors have rapidly entered the market to meet this demand. Initially, Epic approached ambient speech by providing integrations developed in collaboration with vendors such as Microsoft and Abridge. <strong>At their annual UGM in August 2025, Epic shifted their approach with the announcement of their own native clinician-facing ambient speech tool, developed with Microsoft.</strong> This move has the potential to reshape an already crowded and quickly evolving market, prompting leaders to reassess their road maps and vendor strategies. To understand how organizations are responding, KLAS interviewed 35 Epic customers who attended UGM, exploring initial reactions to the announcement and the factors driving or hindering adoption plans.

Report Abstract

Key Findings:

  1. Most Customers Welcome Epic’s Entry into Ambient Speech; All Eyes on Speed to Maturity
  2. Near-Term Adoption Plans Driven by Vendor Loyalty & Consolidation Benefits; Existing Contracts & Functionality Concerns May Slow Adoption
  3. Long-Term Outlook Favors Epic Exclusivity, Though Specialty Needs May Sustain Use of Other Vendors’ Tools
to see the full dataset.

If you don't have a login, getting started is easy.

Provider Organizations
Fill out our registration form to verify your organization.
HIT Companies
Contact a KLAS representative for plans and pricing.

Performance Data

Overall Score by Product

Example Ambient Speech overall score by product image

Products Appearing in Decisions

Example Ambient Speech products appearing in decisions image

Overall Score by Question Topic

Example Ambient Speech overall score by question topic image

Provider Facility Size by Product

Example Ambient Speech provider facility size by product image

Provider Facility Type by Product

Example Ambient Speech provider facility type by product image
Current Time Inside Cache Tag Helper: 12/4/2025 1:58:28 PM and Model.SegmentId = 487
Related ReportsView All Reports
Vendor Case Study
KLAS article icon
Ambience Healthcare ROI Validations 2025
26 June 25    |   Mac Boyter and Tyson Blauer
Executive Summary: With the primary goal of improving clinician well-being, St. Luke’s Health System set out to invest in a technology solution that would (1) alleviate burnout and improve documentation efficiency and (2) deliver a financial ROI within two years. To do so, they partnered with Ambience Healthcare and implemented Ambience—an AI-powered ambient platform that automatically generates clinical documentation and associated diagnostic and billing codes directly in the providers’ natural workflow. By eliminating manual note-taking and enhancing coding accuracy, St. Luke’s has realized substantial returns, including measurable financial gains and reduced clinician burnout.
Performance
KLAS article icon
Ambient Speech 2025
04 February 25    |   Braden Taylor and Mac Boyter
Over the past year, the adoption of ambient speech technology—solutions that use healthcare-specific language models to capture patient-provider encounters and contextualize them into structured notes—has surged exponentially (see below). Additionally, this technology has rapidly evolved in recent months, further enhancing provider documentation and even expanding beyond note creation. More and more, healthcare leaders are looking to ambient speech solutions to improve clinician satisfaction, documentation quality, and efficiency. This report—KLAS’ first to compare vendor performance in this high-performing space—examines how well vendors drive customer satisfaction and facilitate EHR integration; market insights around adoption and outcomes are also shared.
Decision Insights
KLAS article icon
Ambient Speech 2024
25 October 24    |   Braden Taylor and Mac Boyter
With the rapid expansion of generative AI, ambient speech technology has been top of mind for healthcare organizations as they seek increased efficiency, improved note quality, and improved provider well-being. While ambient speech vendors previously had to provide QA specialists to review created notes, generative AI has enabled ambient speech technology to become more fully automated and do more than just transcribe medical notes. Many organizations are currently making or have made ambient speech purchase decisions in the last year; while some are beginning to move past the pilot stage, broad adoption of this technology is not yet common. To help healthcare organizations understand why certain vendors are being considered and selected, this report—KLAS’ first to focus on only ambient speech technology—examines feedback from 80 organizations that are making or have recently made decisions between January 2024 and August 2024. (This report does not represent a comprehensive census or win/loss market share study.)
Emerging Technology
KLAS article icon
Ambience Healthcare 2024
21 October 24    |   Braden Taylor and Mac Boyter
Healthcare organizations continue to evaluate ambient speech AI solutions with the goal of improving clinician well-being, increasing operational efficiencies, and enhancing care quality. Ambience Healthcare offers a voice-enabled, fully automated generative AI solution that is used across various care settings to create clinical documentation and assist with workflow tasks such as code suggestions and pre-charting. This report examines early customer experiences and satisfaction with the product.
Emerging Technology
KLAS article icon
Nabla 2024
16 October 24    |   Braden Taylor and Mac Boyter
Ambient speech technology continues to be top of mind for healthcare leaders looking to reduce administrative burdens, optimize processes, and—ultimately—help clinicians focus more on patient care. Nabla is a voice-enabled, fully automated generative AI solution that utilizes proprietary large language models to create clinical notes and streamline workflows for various care settings in real time. This report examines customers’ experiences and satisfaction with the product.
Emerging Technology
KLAS article icon
Abridge 2024
17 April 24    |   Braden Taylor and Mac Boyter
Ambient speech AI technology is top of mind for many healthcare organizations as they seek ways to improve physician efficiencies and well-being. Using machine learning and large language models, Abridge’s voice-enabled, fully automated generative AI solution generates clinical and patient notes in real time. The Abridge product aims to increase trust and impact through code suggestions, multilingual capabilities, and mapping of AI content to audio/transcript evidence. This report explores the experience and satisfaction of Abridge customers, including healthcare leaders and physician users.
Emerging Technology
KLAS article icon
Suki Assistant 2024
17 April 24    |   Braden Taylor and Mac Boyter
The recent rise of generative AI in clinical documentation has led many healthcare organizations to look at ambient speech products to decrease non-clinical work and burnout for physicians. Suki leverages machine learning and large language models to power their solution’s voice-enabled, fully automated generative AI. The Suki Assistant solution generates clinical notes in real time and provides capabilities such as audibility features and code suggestions. This report examines the experience and satisfaction of Suki customers, including healthcare leaders and physician users.



Reducing Filters

Unlike sizing filters, reducing filters DO NOT recalculate scores based on the evaluations that meet these requirements. They narrow the list of solutions to show the vendors and solutions that can meet a specific need.

This data is based on interviews with a sample of the firms' recent clients. As a result, it is not necessarily comprehensive of all work a firm may do in this segment.

We require a minimum of 2 confirmations of a service performed in the last 3 years for a solution to qualify.

We use cookies! We use essential and basic aggregated, depersonalized Google Analytics cookies to provide the type of content which our visitors are most interested in.  Cookie Policy    
​